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The EPA Facility Registry Service (FRS) is the national catalog that gathers information on more than 140,000 industrial plants, research centers, and waste disposal sites across the United States. Recently, a new dataset called ER_CERCLIS has been launched, aimed at making hazardous waste management more transparent.

Thanks to ER_CERCLIS, anyone can access details on the quantity, type, and destination of chemical waste produced by each registered facility. The data are public, downloadable in CSV format, and can be linked to interactive maps. This means students, journalists, and activists can, for example, see where the most polluting sites are located or track emission trends over time.

The value of such an open registry is huge: it fuels scientific research, helps authorities plan more targeted interventions, and enables communities to demand environmental accountability. Moreover, integration with other federal databases makes it possible to cross‑reference information on air, water, and soil quality.

In practice, ER_CERCLIS turns complex data into a tool for oversight and awareness, showing how digital transparency can become an ally in the fight against pollution.

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The EPA FRS uses a data model based on XML and JSON schemas, assigning a unique Facility ID to each site. ER_CERCLIS adds specific fields for hazardous waste management, such as the CERCLIS code (Comprehensive Environmental Response, Compensation, and Liability Information System) that links facilities to potential remediation actions.

From a geospatial perspective, latitude‑longitude coordinates are attached to each facility, enabling integration with GIS (Geographic Information System) platforms. This allows the creation of thematic maps showing site distribution relative to environmental variables, such as population density or climate vulnerability.

The dataset is refreshed monthly via RESTful API feeds, ensuring that information on new plants or operational changes is available almost in real time. The APIs support filtered queries by state, facility type, risk class, and waste volume, facilitating advanced statistical analyses.

For researchers, ER_CERCLIS enables longitudinal studies on the effectiveness of waste management policies. By cross‑referencing the data with air quality measurements (EPA Air Quality System) or water quality data (EPA Water Quality Data), correlations between chemical emissions and public health impacts can be assessed.

Finally, the project adheres to FAIR principles (Findable, Accessible, Interoperable, Reusable), promoting data reuse by scholars, public agencies, and civic‑tech developers. This open approach spurs innovation, for example in mobile apps that alert residents when pollution thresholds are exceeded near their homes.

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Date Published:
Original Article catalog.data.gov
Fact-check verified on 31/01/2026
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Creative Commons License CC BY-NC-SA 4.0

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